Lead entity resolution engineering for a production system.
Build and refine matching pipelines, including blocking and scoring.
Ensure provenance and explainability of all matching decisions.
DEFCON AI is an insights company that uses AI, optimization, and analytics for resilient complex systems. They are a small, mission-driven team supporting U.S. government needs with a flexible, remote-first culture.
Design and implement scalable data ingestion pipelines for processing high volumes of unstructured documents.
Integrate and optimize OCR technologies to maximize text extraction accuracy and document understanding.
Build automated workflows for document parsing, cleaning, and enrichment to support AI applications.
Inetum is a European leader in digital services, providing digital transformation solutions to businesses and public sector organizations. With 26,000 consultants and a presence in 19 countries, the group generated €2.2 billion in revenue in 2025.
Lead the AI/ML organization behind the immigration case management platform, including document understanding and extraction.
Manage and grow a team of ML engineers, setting technical direction on build-vs-buy for AI/ML capabilities.
Be accountable for cost, quality, and throughput of every model in production, with recognized depth in the field.
Envoy Global innovates in global immigration, combining a tech platform with holistic service to streamline immigration for employers and individuals. The company is scaling its AI/ML organization and seeks a Director to lead document understanding and automation.
Develop machine learning and LLM capabilities for query intelligence and search relevance.
Build agentic search planners and improve model behavior through prompt development and fine-tuning.
Own projects from problem definition to production deployment and collaborate with cross-functional teams.
Atlassian builds software products that help teams collaborate and manage work. The company fosters a flexible and inclusive culture, with employees able to choose where they work and a focus on innovation.
Build machine learning models for classification and information extraction in healthcare.
Analyze complex healthcare data to improve existing models and implement new solutions.
Collaborate with engineering to deploy ML models into production and explore LLM solutions.
Reveleer provides a unified platform for risk adjustment, quality improvement, and clinical intelligence in value-based care. Trusted by 80+ health plans and provider organizations, it integrates data, analytics, and AI-driven automation with a focus on transparency and human oversight.
Develop deep understanding of customer problems and map them to Cohere solutions as a trusted technical advisor.
Lead design and deployment of customer pilots, owning the technical narrative from discovery to business case.
Collaborate with Product and Engineering teams and partners to scale solutions and gather customer feedback.
Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and products for real-world business problems. It is a global team of researchers, engineers, and designers headquartered in Toronto with offices worldwide, committed to driving AI adoption.
Design and ship ML systems for document understanding, extraction, classification, and scoring to power Copilot and Autopilot features.
Own the full lifecycle of ML solutions from problem framing to production monitoring, using user feedback and error analysis to drive continuous improvement.
Partner with product, engineering, and accounting experts to integrate ML naturally into user workflows and define quality metrics that reflect real value.
Pennylane is a fast-growing fintech building the financial operating system for French SMEs and accounting firms, with a vision to expand across Europe. The company has grown to 1,000 employees, raised €400 million from Sequoia, and maintains a remote-friendly culture with a 4.6/5 Glassdoor rating.
Train, evaluate, and iterate on ML models for customer feedback tasks with rigorous experimentation.
Build and maintain LLM-powered features including retrieval pipelines, reranking systems, and insight generation.
Contribute to evaluation frameworks, semantic search, and collaborate with engineering on model integration.
We help large brands like Uber, Amazon, and Wise put customers at the centre of everything they do using our AI-powered Customer Experience Intelligence platform. Our collaborative, growth-driven culture values trust, ownership, and humility as we build the next generation of customer feedback technology.
Own the build out of new agents, skills, and platform capability for teams across TLDR.
Build and deploy agents end to end, from design through implementation, evals, and rollout to internal users.
Partner with stakeholders across sales, editorial, and people ops to find where an LLM belongs in their process.
TLDR runs the largest network of tech newsletters in the world, with over 8 million subscribers covering startups, software engineering, AI, and more. Our 31-person full-time team is bootstrapped, profitable, and on track for $35M in revenue this year, with a culture of owning functions rather than slices.
Annotate text, image, audio, and video data to train large language models and AI systems.
Evaluate search results, ads, and chatbot outputs for factual accuracy, linguistic quality, and safety.
Provide detailed feedback and documentation to refine AI model reasoning and evaluation frameworks.
Our partner is a company focused on AI training and data annotation, working with a global network of linguists and tech enthusiasts. It values flexibility, transparency, and cultural accuracy in AI development.
Evaluate AI-generated documents, spreadsheets, and presentations against domain-specific quality standards.
Assess outputs for factual accuracy, procurement relevance, completeness, clarity, and practical applicability.
Provide structured written feedback identifying issues and opportunities for improvement.
This partner company specializes in evaluating AI-generated work products for public-sector procurement and RFI responses. The company size and culture are not specified in the posting, but the engagement is flexible and fully remote.
Evaluate AI-generated slides, spreadsheets, and documents for real-world usability and professional quality.
Assess outputs for accuracy, clarity, relevance, and alignment with data science standards.
Provide structured written feedback to help improve AI systems and their outputs.
A partner company is seeking a Data Science Expert to evaluate AI-generated work. The company focuses on improving AI systems and operates with a flexible, remote team.
Define end-to-end requirements for AI capabilities, from model behavior to user experience.
Translate model capabilities and technical constraints into product decisions.
Work closely with ML and engineering teams on system design and iteration.
They develop AI-powered email applications and work at the intersection of user needs and model capability. The company is fast-moving and collaborative with a strong focus on technical ownership and innovation.
Own end-to-end deployment of Tines' platform within complex enterprise environments.
Drive adoption across the organisation by training and supporting stakeholders at all levels.
Identify and develop new use cases to expand value of the platform.
Tines is the intelligent workflow company that powers some of the world's most important workflows. They are driven by values of Simplicity, Speed, and Soundness and foster a culture of curiosity, growth, and integrity.
Review text or media samples based on provided project guidelines
Apply accurate labels and categorizations to diverse data sets
Evaluate AI-generated responses for clarity, safety, and factual accuracy
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Build the component layer around our layout synthesis engine, including API contracts, services, and evaluation gates.
Turn model retraining into a one-command job with built-in benchmarks and readable results for the whole team.
Own latency and cost budgets for learned capabilities and partner with infrastructure engineers on MLOps and deployment.
Higharc is a VC-backed startup that is changing how new homes are designed and built using spatial AI and generative floor plan technology. The company is fully remote, has raised over $175M, and values flexibility, collaboration, and asynchronous deep work.
Design and build AI-powered product features using LLMs, document agents, and agentic workflows.
Develop backend services and APIs for model inference, orchestration, and tool execution.
Handle production realities of AI including prompt design, structured output, and cost control.
Firstwork is an applied AI company building the HR operations platform for frontline hiring. The platform processes millions of requests daily and serves a global workforce, with a focus on AI-native solutions and a fast-paced product environment.
Evaluate AI-generated responses for safety and bias against strict rubrics.
Classify harmful content categories like hate speech and self-harm.
Verify factual accuracy of model claims using external sources to prevent hallucinations.
TELUS Digital is a leading AI data company that trains models to be safe and accurate. They have a global community of over one million contributors and foster a collaborative, flexible culture.
Design, build, and operate LLM-powered applications and services over catalog, sales, and operational data.
Stand up and maintain MCP servers and tool integrations that connect AI models to internal systems.
Own services end-to-end, evaluate emerging AI tooling, and raise the team's AI engineering capability.
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. We are committed to quality, excellence, and innovation throughout the entire publishing process, with a vibrant and diverse international community of nearly 300 publishing brands and imprints.
Create and improve large-scale search systems across hundreds of millions of profiles and billions of media files.
Build and deploy multimodal embeddings and LLM-powered search features from experimentation to production.
Own technical challenges end-to-end while collaborating with data, product, and leadership teams.
The company builds a large-scale creator search platform used by thousands of businesses worldwide. It is a remote-first, fast-moving organization with a culture of deep work, autonomy, and meaningful ownership.